Processing magnetic resonance images are very complex and constantly studied by the researchers to give doctors better ability to diagnose the patients. In order to detect automatically suspicious regions or tumors, w...Processing magnetic resonance images are very complex and constantly studied by the researchers to give doctors better ability to diagnose the patients. In order to detect automatically suspicious regions or tumors, we present a new approach inspired by threshold segmentation and based on morphological operations in this paper. The advantages of our approach come from the complementarities between these two approaches. The morphological operations extract roughly the tumor region and eventually can affect healthy while the threshold segmentation method gives a clear picture of the structure of the different brain and therefore these two approaches improve significantly the threshold segmentation and detection and extraction of the tumor zone based on morphological operations.展开更多
The paper presents the principles and the results of the implementation of dielectrophoresis for separation and identification of rare cells such as circulation tumor cells(CTCs)from diluted blood specimens in media a...The paper presents the principles and the results of the implementation of dielectrophoresis for separation and identification of rare cells such as circulation tumor cells(CTCs)from diluted blood specimens in media and further label-free identification of the origins of separated cells using radio-frequency(RF)imaging.The separation and the identification units use same fabrication methods which enable system integration on the same platform.The designs use the advantage of higher surface volume ratio which represents the particular feature for micro-and nanotechnologies.Diluted blood in solution of sucrose–dextrose 1–10 is used for cell separation that yields more than 95.3% efficiency.For enhanced sensitivity in identification,RF imaging is performed in 3.5–1 solution of glycerol and trypsin.Resonance cavity performance method is used to determine the constant permittivity of the cell lines.The results illustrated by the signature of specific cells subjected to RF imaging suggest a reliable label-free single cell detection method for identification of the type of CTC.展开更多
文摘Processing magnetic resonance images are very complex and constantly studied by the researchers to give doctors better ability to diagnose the patients. In order to detect automatically suspicious regions or tumors, we present a new approach inspired by threshold segmentation and based on morphological operations in this paper. The advantages of our approach come from the complementarities between these two approaches. The morphological operations extract roughly the tumor region and eventually can affect healthy while the threshold segmentation method gives a clear picture of the structure of the different brain and therefore these two approaches improve significantly the threshold segmentation and detection and extraction of the tumor zone based on morphological operations.
文摘The paper presents the principles and the results of the implementation of dielectrophoresis for separation and identification of rare cells such as circulation tumor cells(CTCs)from diluted blood specimens in media and further label-free identification of the origins of separated cells using radio-frequency(RF)imaging.The separation and the identification units use same fabrication methods which enable system integration on the same platform.The designs use the advantage of higher surface volume ratio which represents the particular feature for micro-and nanotechnologies.Diluted blood in solution of sucrose–dextrose 1–10 is used for cell separation that yields more than 95.3% efficiency.For enhanced sensitivity in identification,RF imaging is performed in 3.5–1 solution of glycerol and trypsin.Resonance cavity performance method is used to determine the constant permittivity of the cell lines.The results illustrated by the signature of specific cells subjected to RF imaging suggest a reliable label-free single cell detection method for identification of the type of CTC.
